• DocumentCode
    3650001
  • Title

    SimPHO: An ontology for simulation modeling of population health

  • Author

    Anya Okhmatovskaia;David L. Buckeridge;Arash Shaban-Nejad;Andrew Sutcliffe;Jacek A. Kopec;Philippe Finès;Michael C. Wolfson

  • Author_Institution
    McGill University, 1140 Pine Ave. West, H3A 1A3 Montreal, QC, Canada
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    Simulation modeling of population health is being used increasingly for epidemiology research and public health policy-making. However, the impact of population health simulation models is inhibited by their complexity and the lack of established standards to describe these models. To address this issue, we are developing the Ontology for Simulation Modeling of Population Health (SimPHO) - a formal, explicit, computer-readable approach to describing population health simulation models. SimPHO builds on previous work to classify and formally represent knowledge about simulation models, and incorporates the semantics of the epidemiology and public health domains. SimPHO will allow model developers to make explicit their assumptions, to describe their models in a formal, consistent and interoperable manner, and to facilitate model reuse and integration. To illustrate the use of SimPHO, we describe one software application driven by this ontology, an automated visualization tool for generating interactive web-based diagrams of population health simulation models.
  • Keywords
    "Biological system modeling","Ontologies","Sociology","Statistics","Computational modeling","Standards","Public healthcare"
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2012 Winter
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4673-4779-2
  • Type

    conf

  • DOI
    10.1109/WSC.2012.6465128
  • Filename
    6465128